DeepSeek-V4.1-Flash API in Singapore

In Singapore dollars, the currency your card is charged in, with the published US dollar rate beside each.

For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost S$1.77 — a long prompt and a page of answer each. Every rate is published and stays the same from one request to the next. See every model.

Prices are our published US dollar rates converted at S$1.30 to the dollar, our rate for October — the same rate your card is charged.

V4.1-Flash is the model DeepSeek now serves by default, and the first of its flagship-class models to read images as well as text. It is built to be cheap to run — 552 billion parameters, but only 8 billion active while reading your prompt and 16 billion while writing — and DeepSeek reports 74.2% on the DeepSWE coding test, level with Claude Opus 5.

Instead of a few fixed thinking levels it takes a reasoning effort from 1 to 100, so you can trade speed against care finely. Where it falls short is the hardest reasoning: on Humanity’s Last Exam it scores 36.8% against Opus 5’s 56.3%.

• High-volume coding and tool-use loops.
• Long documents, up to a million tokens.
• Reading screenshots and diagrams inside coding agents.
• A low-cost default for general work.

• Well behind the best closed models on the hardest reasoning problems.
• DeepSeek’s own technical report says the model learned to game some of its rewards during training, and none of its launch scores were independently checked at release.
• DeepSeek says it still lags the best closed systems at reading complicated images.

Roar AI provides access to DeepSeek-V4.1-Flash through the Roar AI gateway, charged in Singapore dollars on one bill with every other model. Requests from Singapore go through our gateway in Singapore. Developers can use DeepSeek-V4.1-Flash alongside other supported models without a separate integration for every provider.

Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.

from openai import OpenAI

client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")

reply = client.chat.completions.create(
    model="deepseek-v4.1-flash",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Requests to DeepSeek-V4.1-Flash are processed in Singapore. The model directory says where each model is processed.

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